Pattern #51: Shortcut Buttons

Pattern Author: Jakub Linowski - Founder & Editor @ GoodUI.org

Based on 2 Tests, Members See How Likely This Pattern Will Win Or Lose And Its (?) Median Effect

Almost Certain Loser
-5
-4
-3
-2
-1
0
+1
+2
+3
+4
+5
Almost Certain Winner
Shortcut Buttons
  1. Add: Shortcut Option Bypassing Steps Smaller Commitments

    The pattern suggests to offer a shortcut option that allows users to bypass additional steps. This can apply to bypassing landing pages and going straight to a checkout screen. Or this same pattern can also bypass a series of questions and shortcut to a final signup screen.

Median Effects

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Engagement

Ex: Any Action / Visit

(1 tests)

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Conversions

Ex: Signups, Leads

(1 tests)

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Sales

Ex: Transactions, Upsells

(1 tests)

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Revenue

Ex: AOV, LTV

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Retention

Ex: Return Visits

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Referrals

Ex: Social Shares

Tests

Pattern #51: Shortcut Buttons
Was Tested On Examine.com by Martin Wong

Test 139 Tested on Examine.com by Martin Wong Martin Jan 04, 2018

Find Out How It Performed With 18,620 Visitors

Pricing
  • Measured by checkout page visits   |   p-val (?)

  • Measured by actual sales   |   p-val (?)

This test is a perfect example of pushing customers who might not be ready into a sale. The shallow metric of people clicking the "purchase" button and moving forward into a checkout screen has a highly significant 86% increase. However these people don't follow through with the actual sale, which is clear from a -16% decrease in sales. A great example of how pushing sales too hard can backfire.

Get Access To See The Test Results

The Same Pattern Was Also Tested Here

Test 193 Tested on Yummly.com by Marcos Ciarrocchi Marcos Aug 07, 2018

Find Out How It Performed With 1,335,347 Visitors

Signup Desktop, Mobile
  •  

  • Measured by post signups page visits   |   p-val (?)

Get Access To See The Test Results

For each pattern, we measure three key data points derived from related tests:

REPEATABILITY - this is a measure of how often a given pattern has generated a positive or negative effect. The higher this number, the more likely the pattern will continue to repeat.

SHALLOW MEDIAN - this is a median effect measured with low intent actions such as initiating the first step of a lengthier process

DEEP MEDIAN - this is derived from the highest intent metrics that we have for a given test such as fully completed signups or sales.